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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. 611
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    Explanations

    phrases or words related to recalling or remembering information

    oai_token-act-pair · gpt-3.5-turbo

    words related to recollection or reflection

    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
     Afgh
    -0.66
     parity
    -0.63
    xxxx
    -0.63
     Izan
    -0.62
     insane
    -0.62
     inhuman
    -0.62
     insanity
    -0.61
    aya
    -0.61
     Tier
    -0.61
     Oil
    -0.60
    POSITIVE LOGITS
    lect
    4.08
    lected
    3.47
    lections
    3.42
    lection
    3.35
    LECT
    2.58
    lectic
    1.43
    lex
    1.22
    ctors
    1.10
    erential
    1.04
    lege
    1.02
    Activations Density 0.022%

    No Known Activations