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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. 13507
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or quantities, likely related to ranking or classification

    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
    gart
    -0.76
     tremend
    -0.71
    ierrez
    -0.70
    gone
    -0.65
    ause
    -0.65
    spread
    -0.65
    anamo
    -0.64
    iques
    -0.61
    assetsadobe
    -0.61
     avail
    -0.60
    POSITIVE LOGITS
    66
    0.96
    37
    0.92
    rd
    0.89
     Reasons
    0.89
    491
    0.86
    87
    0.84
    94
    0.83
    71
    0.83
    76
    0.82
    77
    0.81
    Activations Density 0.039%

    No Known Activations