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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. 4925
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    Explanations

    self-referential phrases and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    references to self-identification or personal identity

    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
    aptic
    -0.72
     breeze
    -0.68
    edia
    -0.67
     surface
    -0.66
    heny
    -0.64
    onga
    -0.64
     temptation
    -0.61
     uptake
    -0.60
    vez
    -0.59
     weeds
    -0.58
    POSITIVE LOGITS
    selves
    0.81
    æ³
    0.74
    é¾įåĸļ士
    0.74
    éļ
    0.71
    åĤ
    0.69
    ãĥĹ
    0.67
    é¾įå¥ij士
    0.67
    éĸ
    0.66
     worshipped
    0.66
     è£ıè
    0.66
    Activations Density 0.041%

    No Known Activations