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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. 7-RES-JB
    11. 154
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    Explanations

    instances where help is asked for or needed

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to seeking assistance or support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Pict
    -0.76
    é¾
    -0.76
    ross
    -0.72
    ModLoader
    -0.68
    theless
    -0.67
    andom
    -0.67
    ategory
    -0.66
     rall
    -0.63
     Rim
    -0.63
    ibia
    -0.61
    POSITIVE LOGITS
    fully
    1.05
     Desk
    0.94
    des
    0.94
    meet
    0.83
    ful
    0.81
     counselors
    0.74
    fulness
    0.74
    full
    0.73
    giving
    0.72
     desk
    0.70
    Activations Density 0.046%

    No Known Activations