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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. 7-RES-JB
    11. 14017
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    INDEX
    Explanations

    numerical values and measurement units

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities in a context related to finance or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.72
    ahu
    -0.59
     haunt
    -0.58
    cv
    -0.57
    olina
    -0.57
    arij
    -0.55
    kov
    -0.54
    ographic
    -0.53
    waters
    -0.53
    onen
    -0.52
    POSITIVE LOGITS
     expended
    0.68
     stockp
    0.63
     concessions
    0.62
     donated
    0.58
     necessities
    0.58
     bribe
    0.57
     plentiful
    0.56
     dues
    0.56
     commodities
    0.56
     dollars
    0.54
    Activations Density 1.439%

    No Known Activations