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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. 8-RES-JB
    11. 16765
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     redes
    -0.66
     Ri
    -0.65
     Nanto
    -0.63
     interchange
    -0.60
     Rite
    -0.58
     CTR
    -0.57
     Torrent
    -0.57
     Learns
    -0.56
    ulhu
    -0.56
     clearance
    -0.55
    POSITIVE LOGITS
    able
    1.44
    ably
    1.36
    ABLE
    1.24
    ables
    1.22
    vable
    1.18
    ability
    1.12
    ifiable
    1.08
    urable
    1.08
    ivable
    1.07
    worthy
    1.02
    Activations Density 0.102%

    No Known Activations