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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 11299
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    INDEX
    Explanations

    descriptive sentences referring to particular scenarios

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and the presence of specific numerical expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.68
     oun
    -0.67
     contingency
    -0.67
     affili
    -0.67
     tremend
    -0.65
     newcom
    -0.63
     collective
    -0.60
     reim
    -0.60
     unders
    -0.60
     gobl
    -0.60
    POSITIVE LOGITS
    ↵
    1.28
    <|endoftext|>
    1.19
    ↵↵
    0.91
    >[
    0.87
     Afterwards
    0.84
    SPONSORED
    0.82
    Downloadha
    0.80
     Including
    0.79
    avi
    0.77
     However
    0.77
    Activations Density 0.591%

    No Known Activations