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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. 0-RES-JB
    11. 15490
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    Explanations

    references to internal aspects or elements

    oai_token-act-pair · gpt-3.5-turbo

    references to internal systems or structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Logged
    -0.77
    pour
    -0.76
    seekers
    -0.70
    Wonder
    -0.67
    Tickets
    -0.67
    hes
    -0.65
    scar
    -0.65
    âĻ¥
    -0.64
    fare
    -0.64
    photos
    -0.63
    POSITIVE LOGITS
     internal
    3.58
    internal
    2.60
     Internal
    2.44
    Internal
    2.43
     internally
    2.19
     external
    2.16
     externally
    1.83
    external
    1.67
     External
    1.62
    External
    1.61
    Activations Density 0.024%

    No Known Activations