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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. 9-RES-JB
    11. 3382
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    Explanations

    words related to various locations, including stadiums and specific project names

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and proper names, particularly those associated with locations or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    APS
    -0.72
     ministerial
    -0.69
    foreign
    -0.68
     favourable
    -0.64
    ãģĨ
    -0.64
     carbohyd
    -0.63
     corrid
    -0.62
     Janeiro
    -0.59
    negative
    -0.58
     Teresa
    -0.58
    POSITIVE LOGITS
    âĦ¢
    1.14
    ®
    1.14
    hire
    0.99
    ®,
    0.98
    âĦ¢:
    0.97
     extraord
    0.88
     ®
    0.84
    phia
    0.81
     Tycoon
    0.81
     Labs
    0.80
    Activations Density 0.470%

    No Known Activations