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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. 10832
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    Explanations

    phrases related to completion or resolution

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions

    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
    oreal
    -0.81
    odcast
    -0.75
    ieth
    -0.74
    floor
    -0.72
    uta
    -0.72
    CRIP
    -0.71
    UC
    -0.68
    uts
    -0.68
    zing
    -0.68
    ception
    -0.67
    POSITIVE LOGITS
     thus
    1.08
     consequently
    1.05
     thereby
    1.01
     hence
    1.00
     therefore
    0.97
     redistributed
    0.93
     withdrew
    0.86
     eventually
    0.86
     subsequently
    0.85
     deserves
    0.83
    Activations Density 0.254%

    No Known Activations