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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. 2-RES-JB
    11. 15595
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    Explanations

    words related to placements or positioning

    oai_token-act-pair · gpt-3.5-turbo

    words related to positioning and placement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãģ®éŃĶ
    -0.75
    RAFT
    -0.74
    heimer
    -0.68
     Fighters
    -0.68
    VAL
    -0.66
    è£ħ
    -0.66
    Ô
    -0.65
     DRAG
    -0.65
    IRO
    -0.63
    ortium
    -0.63
    POSITIVE LOGITS
     plac
    1.26
    ements
    1.26
    atos
    0.93
    ently
    0.90
    ate
    0.88
    acement
    0.87
    ancies
    0.86
    orescence
    0.85
    ating
    0.84
    idity
    0.81
    Activations Density 0.007%

    No Known Activations