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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 13156
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    Explanations

    movies or media projects that prominently feature specific elements or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "features" and its variations, indicating content that highlights specific elements or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alty
    -0.71
    usable
    -0.71
    ça
    -0.68
    heric
    -0.67
     decl
    -0.66
    abi
    -0.66
    vernment
    -0.66
    cffffcc
    -0.66
    itude
    -0.65
     conflic
    -0.64
    POSITIVE LOGITS
     prominently
    1.07
    Feature
    1.00
    ttes
    0.81
    Features
    0.79
    features
    0.79
     features
    0.77
     Features
    0.75
     Include
    0.74
    lights
    0.71
     Highlights
    0.71
    Activations Density 0.021%

    No Known Activations