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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. 11-RES-JB
    11. 21579
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    Explanations

    words related to classifications or categories

    oai_token-act-pair · gpt-3.5-turbo

    references to classifications or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hiba
    -0.75
    obin
    -0.71
     stump
    -0.65
    vernment
    -0.63
    orthy
    -0.62
     Leone
    -0.61
    SIGN
    -0.61
    OPLE
    -0.61
     Bills
    -0.60
    ï¸ı
    -0.58
    POSITIVE LOGITS
    ifications
    1.53
    ifier
    1.41
    ifiers
    1.38
    ifies
    1.36
    ifying
    1.35
    ically
    1.24
    ified
    1.15
    ification
    1.12
    ifiable
    1.12
    room
    1.06
    Activations Density 0.040%

    No Known Activations