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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. 18513
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    INDEX
    Explanations

    phrases or names containing the sequence 'ha' with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of a specific name or term

    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
    atories
    -0.84
    papers
    -0.84
    rations
    -0.75
    displayText
    -0.69
    URES
    -0.68
    enhagen
    -0.67
    urated
    -0.64
    tle
    -0.64
    âĶģ
    -0.63
    entric
    -0.63
    POSITIVE LOGITS
    wn
    1.10
    pless
    0.98
    iku
    0.94
    pton
    0.92
    user
    0.91
    ild
    0.85
    pp
    0.85
    pta
    0.84
    ption
    0.81
    verty
    0.81
    Activations Density 0.011%

    No Known Activations