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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. 3-RES-JB
    11. 6580
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    Explanations

    adjectives related to judgment

    oai_token-act-pair · gpt-3.5-turbo

    evaluations of correctness and suitability in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pers
    -0.69
    ãĥīãĥ©
    -0.69
    ãĥİ
    -0.68
    è»
    -0.67
     Mub
    -0.66
    Mas
    -0.65
    à©
    -0.65
    FACE
    -0.63
    æ©
    -0.62
    ãĥĥ
    -0.62
    POSITIVE LOGITS
    liest
    1.13
    iest
    0.99
    hest
    0.99
     thing
    0.97
    est
    0.89
     bidder
    0.87
     possible
    0.80
     version
    0.79
     antidote
    0.77
    icter
    0.77
    Activations Density 0.360%

    No Known Activations