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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. 8819
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    Explanations

    shortened names or abbreviations ending in 'ret'

    oai_token-act-pair · gpt-3.5-turbo

    references to legal or judicial terminology

    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
     Thames
    -0.62
    ĨĴ
    -0.61
    OPER
    -0.60
    omnia
    -0.60
    cone
    -0.59
    esthesia
    -0.59
    CVE
    -0.58
    xual
    -0.58
    omen
    -0.57
    TPPStreamerBot
    -0.56
    POSITIVE LOGITS
    ting
    1.02
    irement
    0.96
    ribution
    0.95
    zel
    0.94
     unfocusedRange
    0.93
    rans
    0.91
    rieving
    0.90
    rey
    0.88
    arget
    0.87
    ry
    0.87
    Activations Density 0.016%

    No Known Activations