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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 11048
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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
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    No Comments

    Negative Logits
    aniel
    -0.65
     pse
    -0.63
    eeper
    -0.63
    orters
    -0.62
     DRAG
    -0.60
    reon
    -0.60
     certific
    -0.59
     MUST
    -0.59
     showc
    -0.58
     blazing
    -0.58
    POSITIVE LOGITS
    axy
    0.95
    oid
    0.91
    osaurs
    0.84
    tenance
    0.81
    amental
    0.81
    ation
    0.80
    actic
    0.80
     spores
    0.79
    ifax
    0.78
    veyard
    0.77
    Activations Density 0.025%

    No Known Activations