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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. 7-RES-JB
    11. 14670
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    Explanations

    events or festivals

    oai_token-act-pair · gpt-3.5-turbo

    references to a festival or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥīãĥ©
    -0.72
     Genie
    -0.64
     Bind
    -0.61
     Tribe
    -0.61
    ©¶æ
    -0.60
    glers
    -0.60
    ________________________
    -0.59
    tsky
    -0.58
     Azerbai
    -0.58
    IZE
    -0.58
    POSITIVE LOGITS
    ivals
    1.22
    etts
    1.10
    enger
    1.06
    ivities
    0.96
    edly
    0.95
    ards
    0.94
    aign
    0.91
    ished
    0.90
    nah
    0.90
    ellery
    0.88
    Activations Density 0.062%

    No Known Activations