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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. 4-RES-JB
    11. 22288
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    INDEX
    Explanations

    phrases related to actions or outcomes that can occur

    oai_token-act-pair · gpt-3.5-turbo

    modal auxiliary verbs indicating potential or possibility

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

    No Comments

    Negative Logits
    plates
    -0.68
     watches
    -0.63
     microphones
    -0.61
     peasants
    -0.60
    testers
    -0.60
     dishes
    -0.60
    liners
    -0.59
     Alam
    -0.59
     Trip
    -0.59
    aneers
    -0.59
    POSITIVE LOGITS
     blat
    0.79
     misunder
    0.76
    ebin
    0.76
    cture
    0.66
    OULD
    0.64
    kward
    0.63
     happening
    0.63
     explan
    0.63
    acerb
    0.63
     unintentional
    0.62
    Activations Density 0.458%

    No Known Activations