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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. 12-RES-JB
    11. 3143
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    Explanations

    words related to war and conflict

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    topics related to reconstruction and recovery efforts after crises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStream
    -0.85
    Cola
    -0.85
    aii
    -0.81
    Ĭ±
    -0.80
    omatic
    -0.79
    ategor
    -0.79
    igmatic
    -0.76
    olulu
    -0.76
    Ô
    -0.76
    ãģĨ
    -0.75
    POSITIVE LOGITS
     consisted
    1.13
     amounted
    1.10
     was
    1.03
     coincided
    1.02
     lasted
    1.01
     lacked
    1.00
     remained
    0.98
     depended
    0.97
     flowed
    0.96
     differed
    0.95
    Activations Density 0.478%

    No Known Activations