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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. 2-RES-JB
    11. 21508
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    Explanations

    phrases with a negative tone

    oai_token-act-pair · gpt-3.5-turbo

    the negation of the word "are" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.70
    urry
    -0.65
     maturity
    -0.65
    antry
    -0.64
     rise
    -0.63
     residue
    -0.61
     VERS
    -0.60
    oter
    -0.59
    town
    -0.58
     saga
    -0.57
    POSITIVE LOGITS
    't
    1.13
    ajor
    0.91
    nell
    0.86
    nie
    0.78
    Marginal
    0.74
    nos
    0.72
    nces
    0.71
    nai
    0.70
    na
    0.69
    ¹
    0.69
    Activations Density 0.015%

    No Known Activations