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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. 3-RES-JB
    11. 15658
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    Explanations

    phrases related to burial or serious consequences

    oai_token-act-pair · gpt-3.5-turbo

    references to graves and associated themes of death and loss

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivity
    -0.75
     GOODMAN
    -0.70
    ILA
    -0.69
    ĨĴ
    -0.68
    ĩ
    -0.67
    Hyper
    -0.66
    Ĭ±
    -0.66
     skim
    -0.64
     normalized
    -0.64
    é¾įå
    -0.63
    POSITIVE LOGITS
    lly
    1.21
    grave
    1.12
     grave
    1.10
     graves
    0.89
    stones
    0.87
    stone
    0.82
     robbing
    0.82
    fur
    0.81
    thur
    0.76
    bage
    0.76
    Activations Density 0.009%

    No Known Activations