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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. 5550
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    INDEX
    Explanations

    instances of conditional statements describing potential actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing ability or potential actions

    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
     Uri
    -0.62
     UR
    -0.60
     IB
    -0.59
     Trin
    -0.58
    arch
    -0.58
    soever
    -0.57
     caution
    -0.57
    path
    -0.56
     contention
    -0.55
     Sod
    -0.55
    POSITIVE LOGITS
    't
    1.06
     afford
    0.94
     muster
    0.85
     convince
    0.82
     help
    0.78
    adian
    0.77
     somehow
    0.75
     survive
    0.74
    reach
    0.74
    utils
    0.73
    Activations Density 0.084%

    No Known Activations