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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. 6-RES-JB
    6. 15816
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    Explanations

    mathematical or programming content, particularly symbols and commands

    oai_token-act-pair · gpt-3.5-turbo

    symbols, numbers, and references related to data or citations

    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
    Ħ¢
    -0.69
     paran
    -0.62
     Monstrous
    -0.57
     challeng
    -0.57
     Alto
    -0.56
     empt
    -0.55
    hement
    -0.54
    Ń·
    -0.54
     fool
    -0.54
     facilit
    -0.53
    POSITIVE LOGITS
    soDeliveryDate
    0.95
    00000
    0.81
    nance
    0.77
    ochond
    0.72
    tumblr
    0.70
    FORMATION
    0.66
    mosp
    0.65
    aughs
    0.65
    itars
    0.64
    ril
    0.63
    Activations Density 0.141%

    No Known Activations