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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. 3100
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    Explanations

    terms related to financial or budgetary constraints

    oai_token-act-pair · gpt-3.5-turbo

    references to salary cap concepts

    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
    ĪĴ
    -0.86
    cipl
    -0.78
    cause
    -0.76
    perse
    -0.74
    isance
    -0.71
    issance
    -0.69
    hower
    -0.68
    Cause
    -0.67
    selves
    -0.66
     Bread
    -0.65
    POSITIVE LOGITS
    itol
    1.24
    aic
    1.02
    illary
    0.88
    itals
    0.87
    uchin
    0.84
    stan
    0.81
    rison
    0.80
    nea
    0.78
    rice
    0.78
    itated
    0.77
    Activations Density 0.012%

    No Known Activations