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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. 15308
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    INDEX
    Explanations

    words related to influential or significant elements

    oai_token-act-pair · gpt-3.5-turbo

    mentions of contributing factors or causes in various contexts

    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
    alach
    -0.86
    phis
    -0.83
    ©¶æ
    -0.80
    escription
    -0.79
     Seym
    -0.77
     Parables
    -0.77
    gments
    -0.76
    gements
    -0.75
    gem
    -0.75
    quartered
    -0.74
    POSITIVE LOGITS
     factors
    1.01
     factor
    0.87
     Factors
    0.86
    factor
    0.79
     affecting
    0.77
     influencing
    0.76
     equation
    0.72
     predis
    0.72
     contributing
    0.71
     aggrav
    0.71
    Activations Density 0.025%

    No Known Activations