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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. 1-RES-JB
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    Explanations

    the word "rat" with varying activation values

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "rat"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INTER
    -0.76
     Archangel
    -0.68
    Ļ½
    -0.66
    OURCE
    -0.64
     Cyprus
    -0.62
     scarce
    -0.62
     abundant
    -0.62
    FAULT
    -0.60
    LAND
    -0.60
    perty
    -0.60
    POSITIVE LOGITS
    rat
    1.18
    chet
    1.11
    apter
    0.97
    iger
    0.95
    igraph
    0.93
    itude
    0.92
    rollers
    0.91
    ograph
    0.90
    oxin
    0.89
    rice
    0.88
    Activations Density 0.004%

    No Known Activations