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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. 7-RES-JB
    11. 11010
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    INDEX
    Explanations

    contractions of the form "don't"

    oai_token-act-pair · gpt-3.5-turbo

    negations and phrases of refusal or denial

    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
    ORGE
    -0.86
    ãĤ¤ãĥĪ
    -0.85
    ãĥĵ
    -0.82
    NetMessage
    -0.81
    ÃįÃį
    -0.79
    ãĥ¼ãĥĨ
    -0.79
    æ©
    -0.79
    ãĥ¼ãĥĨãĤ£
    -0.79
    ãĥ³ãĤ¸
    -0.78
    Reviewer
    -0.75
    POSITIVE LOGITS
     comply
    0.95
     succeed
    0.87
     already
    0.85
    hin
    0.85
     adequately
    0.79
     conform
    0.79
     cooperate
    0.79
     exist
    0.79
     properly
    0.79
     careful
    0.77
    Activations Density 0.117%

    No Known Activations