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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. 9-RES-JB
    11. 2914
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     SHARES
    -0.70
     outnumbered
    -0.67
     realism
    -0.66
     Leader
    -0.65
     streams
    -0.65
     Sabha
    -0.65
     substitutes
    -0.65
     slurs
    -0.65
     Opportun
    -0.64
     shorthand
    -0.64
    POSITIVE LOGITS
    existing
    1.63
    empt
    1.57
    requisite
    1.43
    requisites
    1.32
    emption
    1.26
    trial
    1.25
    release
    1.22
    condition
    1.21
    established
    1.20
    selected
    1.20
    Activations Density 0.023%

    No Known Activations