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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. 16231
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    Explanations

    adjectives related to how open or vulnerable one is to receiving or experiencing something

    oai_token-act-pair · gpt-3.5-turbo

    terms related to receptiveness and susceptibility

    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
     Banner
    -0.67
    ĪĴ
    -0.66
     Worldwide
    -0.65
     Saga
    -0.64
     GROUP
    -0.60
    Rus
    -0.59
     insults
    -0.58
     Flags
    -0.57
     Boom
    -0.57
    hov
    -0.57
    POSITIVE LOGITS
     receptive
    0.86
    cit
    0.85
     susceptible
    0.85
    itability
    0.76
    ibility
    0.74
    metry
    0.73
    acies
    0.73
    rics
    0.72
    mone
    0.71
    fect
    0.71
    Activations Density 0.022%

    No Known Activations