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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. 1-RES-JB
    11. 6382
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    Explanations

    terms related to specific entities like "EVE", "NT Cup", "CCP", "Caldbeck", and "Hutchins"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific events or individuals related to the gaming community

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hen
    -0.77
    occ
    -0.75
    oche
    -0.74
    loo
    -0.68
    hes
    -0.67
    age
    -0.67
    ce
    -0.66
    adic
    -0.65
    ctr
    -0.64
    lime
    -0.64
    POSITIVE LOGITS
     CCP
    1.00
     EVE
    1.00
    EStream
    0.85
    ITED
    0.75
    itational
    0.71
    ignty
    0.68
    itas
    0.67
     Proced
    0.65
    Ñı
    0.65
     Rebels
    0.65
    Activations Density 0.019%

    No Known Activations