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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. 6-RES-JB
    11. 12910
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    Explanations

    words related to personal developments and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to evaluating performance and expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -0.80
    UTE
    -0.66
     femin
    -0.59
     Gender
    -0.59
    Gender
    -0.58
    interstitial
    -0.58
     dehuman
    -0.57
     fame
    -0.57
     mascul
    -0.55
    Joined
    -0.55
    POSITIVE LOGITS
     meantime
    0.79
     assurances
    0.75
    ivably
    0.74
     uncertainties
    0.72
     uncertainty
    0.71
    ebus
    0.69
     contingency
    0.68
    enario
    0.66
     caveats
    0.66
    pard
    0.65
    Activations Density 1.263%

    No Known Activations