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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. 7413
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    Explanations

    reassuring statements intended to alleviate concerns or fears

    oai_token-act-pair · gpt-3.5-turbo

    expressions of reassurance and encouragement

    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
    oreal
    -0.77
    ceivable
    -0.71
    mbuds
    -0.70
    maxwell
    -0.69
    ivalent
    -0.68
    911
    -0.68
    ·
    -0.67
    Ń
    -0.67
    ertodd
    -0.67
    veyard
    -0.67
    POSITIVE LOGITS
     Babe
    0.65
     Dante
    0.62
     Rove
    0.61
     Spice
    0.61
     there
    0.61
     Gor
    0.60
     Abe
    0.59
     Rhino
    0.59
     ;)
    0.59
     Frog
    0.58
    Activations Density 0.307%

    No Known Activations