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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. 9315
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    INDEX
    Explanations

    mentions of high proportions or very large quantities of something

    oai_token-act-pair · gpt-3.5-turbo

    references to a large proportion or segment of a group or population

    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
    kefeller
    -0.69
    uras
    -0.65
    LV
    -0.63
    spir
    -0.62
    ilion
    -0.60
    ogens
    -0.59
    into
    -0.59
     Frenzy
    -0.58
     majesty
    -0.58
    agate
    -0.58
    POSITIVE LOGITS
     of
    0.80
     shareholder
    0.77
     thereof
    0.76
     (>
    0.75
     (~
    0.66
     sticking
    0.66
    erer
    0.66
    ONE
    0.65
    body
    0.65
     opinion
    0.65
    Activations Density 0.024%

    No Known Activations