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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. 23600
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words related to apocalyptic themes and scenarios

    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
    SHIP
    -0.82
     Spa
    -0.75
     Cot
    -0.74
     Bundy
    -0.73
     Keller
    -0.73
     Shots
    -0.72
    ingham
    -0.70
     Gum
    -0.68
    è¦ļéĨĴ
    -0.68
     Flake
    -0.67
    POSITIVE LOGITS
    ertain
    1.06
    ception
    1.05
    cean
    0.94
    ighty
    0.93
    ird
    0.93
    mosp
    0.86
    iring
    0.85
    ired
    0.85
    velop
    0.84
    arthed
    0.84
    Activations Density 0.135%

    No Known Activations