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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. 1-RES-JB
    11. 13152
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    INDEX
    Explanations

    verbs related to stopping or completing an action

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate conclusions or outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kaya
    -0.76
    tyard
    -0.75
    issance
    -0.71
    pload
    -0.69
    iliary
    -0.68
    htaking
    -0.67
    hee
    -0.66
     ub
    -0.65
    thouse
    -0.65
    anke
    -0.65
    POSITIVE LOGITS
    angering
    1.16
    owment
    0.89
    angers
    0.89
    ocrin
    0.86
    ocrine
    0.81
    angered
    0.80
    orses
    0.78
    door
    0.74
    tackle
    0.73
    end
    0.72
    Activations Density 0.040%

    No Known Activations