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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. 10-RES-JB
    11. 24575
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    Explanations

    expressions related to the visual appearance or impact of things

    oai_token-act-pair · gpt-3.5-turbo

    phrases associated with visual imagery or descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     alliances
    -0.65
     Uni
    -0.63
     partnerships
    -0.59
     practise
    -0.59
     Dakota
    -0.58
    imir
    -0.56
     Corpor
    -0.55
     CK
    -0.55
     improv
    -0.55
     waivers
    -0.54
    POSITIVE LOGITS
    catching
    1.06
    opening
    1.03
    dropping
    0.95
    dro
    0.87
    saw
    0.87
    ĸļ
    0.87
    po
    0.84
    ingly
    0.77
    level
    0.77
    eye
    0.76
    Activations Density 0.036%

    No Known Activations