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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. 4-RES-JB
    11. 7025
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    Explanations

    phrases related to struggling or experiencing difficulty

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to difficulty and challenges

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

    No Comments

    Negative Logits
    soDeliveryDate
    -0.82
    ammy
    -0.70
    MIT
    -0.68
    aza
    -0.67
     testament
    -0.65
    soType
    -0.65
    IDES
    -0.65
    pill
    -0.65
    ells
    -0.64
    edar
    -0.64
    POSITIVE LOGITS
     navigating
    0.84
     interpreting
    0.81
     translating
    0.80
     envision
    0.79
     explaining
    0.78
     seeing
    0.77
     juggling
    0.77
     maneuver
    0.77
     luck
    0.77
     maintaining
    0.74
    Activations Density 0.049%

    No Known Activations