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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. 7789
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    INDEX
    Explanations

    combinations of numbers indicating specific shapes or formations

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical measures or performance metrics in sports 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
    verified
    -0.70
    latest
    -0.68
    pleasant
    -0.66
    risk
    -0.66
    vier
    -0.65
    valid
    -0.64
    educ
    -0.64
    atre
    -0.63
    assy
    -0.63
    cart
    -0.63
    POSITIVE LOGITS
     formation
    0.83
     centr
    0.74
     wings
    0.72
     overtime
    0.71
    llor
    0.68
     combo
    0.65
     wing
    0.64
     Ply
    0.63
     combination
    0.62
     combinations
    0.61
    Activations Density 0.052%

    No Known Activations