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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. 12563
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    EStreamFrame
    -0.80
    κ
    -0.66
     formal
    -0.65
    ktop
    -0.64
     knot
    -0.64
     fist
    -0.64
     dive
    -0.63
     knots
    -0.61
     spit
    -0.60
     sidx
    -0.60
    POSITIVE LOGITS
    earance
    1.51
    ointment
    1.35
    alach
    1.34
    arently
    1.30
    ears
    1.30
    lied
    1.30
    earances
    1.16
    eared
    1.15
    arent
    1.15
    rentices
    1.13
    Activations Density 0.012%

    No Known Activations