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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. 6-RES-JB
    11. 10902
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    INDEX
    Explanations

    exclamations or emphasis in texts

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory punctuation marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     destro
    -0.89
     tyr
    -0.84
     manif
    -0.82
     restraints
    -0.82
     conduc
    -0.79
     shocks
    -0.71
     nostalg
    -0.69
    yrus
    -0.68
     electrodes
    -0.68
     spared
    -0.67
    POSITIVE LOGITS
    @#&
    1.40
    #$
    1.16
    important
    1.13
    @#
    0.96
    ctory
    0.82
    soDeliveryDate
    0.81
    NO
    0.74
    gam
    0.71
    ctor
    0.71
    ?!
    0.71
    Activations Density 0.029%

    No Known Activations