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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. 7-RES-JB
    11. 9814
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    Explanations

    facts or statements of accuracy

    oai_token-act-pair · gpt-3.5-turbo

    references to factual information or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Klux
    -0.76
     Carbuncle
    -0.66
    JV
    -0.66
    avorite
    -0.66
    tone
    -0.65
     pigeon
    -0.65
    artney
    -0.64
    Interstitial
    -0.64
     piping
    -0.64
    gewater
    -0.62
    POSITIVE LOGITS
    ually
    1.35
    ional
    1.25
    orial
    1.14
    itious
    1.11
    ual
    1.05
    uality
    0.98
    oids
    0.94
    sheet
    0.93
    ured
    0.92
    uring
    0.91
    Activations Density 0.035%

    No Known Activations