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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. 6-RES-JB
    11. 7202
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    INDEX
    Explanations

    statements indicating a situation is not as expected or desired

    oai_token-act-pair · gpt-3.5-turbo

    negative statements or denials about something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -1.12
    aneers
    -0.86
    alties
    -0.83
     carbohyd
    -0.80
    oes
    -0.78
    dies
    -0.73
    ween
    -0.71
    obiles
    -0.71
    opez
    -0.70
    »Ĵ
    -0.70
    POSITIVE LOGITS
     blat
    0.71
     happening
    0.69
    actly
    0.68
     untrue
    0.68
     semantics
    0.67
    PLE
    0.67
     explan
    0.66
     conjecture
    0.65
     PvP
    0.64
     ausp
    0.63
    Activations Density 0.292%

    No Known Activations