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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. 9255
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    INDEX
    Explanations

    the word 'norm' in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to social norms and standards

    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
    pta
    -0.69
     Shades
    -0.66
     Ashes
    -0.65
    Wan
    -0.63
    Package
    -0.62
    OTS
    -0.62
    UGH
    -0.61
    ACTED
    -0.61
    cig
    -0.60
     Tea
    -0.59
    POSITIVE LOGITS
    ality
    1.08
    ativity
    1.01
    als
    0.93
    norm
    0.91
     norm
    0.86
    atively
    0.84
    ally
    0.82
    mble
    0.75
    eus
    0.74
    alties
    0.74
    Activations Density 0.007%

    No Known Activations