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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. 7619
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    Explanations

    reasons or explanations

    oai_token-act-pair · gpt-3.5-turbo

    reasons or explanations related to the concept of "why."

    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
    ymph
    -0.68
    lator
    -0.68
     Roller
    -0.68
    rop
    -0.65
    amps
    -0.65
    aughed
    -0.64
    phrine
    -0.64
    shaw
    -0.63
    Zone
    -0.63
    ãĤ¹
    -0.61
    POSITIVE LOGITS
    soever
    1.00
     why
    0.99
     WHY
    0.93
    why
    0.92
    Why
    0.75
     exactly
    0.75
    ihad
    0.74
    soType
    0.69
    Origin
    0.68
    iterranean
    0.68
    Activations Density 0.031%

    No Known Activations