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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. 7520
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    INDEX
    Explanations

    responses or reactions to specific events or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of responses, reactions, and attempts to address or shift focus on certain issues

    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
    rooms
    -0.74
    vironments
    -0.71
    asus
    -0.71
     Tables
    -0.70
    aido
    -0.70
     Cups
    -0.69
    daq
    -0.68
    abases
    -0.65
    bats
    -0.65
    rollers
    -0.64
    POSITIVE LOGITS
     reminder
    0.86
     homage
    0.78
     unto
    0.76
     akin
    0.76
     aimed
    0.73
     necessity
    0.73
     testament
    0.73
     attempt
    0.73
     culmination
    0.72
     diversion
    0.71
    Activations Density 0.208%

    No Known Activations