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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. 11-RES-JB
    11. 21699
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    Explanations

    instructions or steps in a process

    oai_token-act-pair · gpt-3.5-turbo

    various elements related to recipes and cooking instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
     confir
    -0.71
     stru
    -0.67
    iph
    -0.66
     dismant
    -0.64
    ktop
    -0.63
     comprom
    -0.63
     paran
    -0.62
     recy
    -0.62
     forwards
    -0.61
    £ı
    -0.60
    POSITIVE LOGITS
    2
    1.42
     2
    1.23
    II
    0.94
    0002
    0.92
    ²
    0.91
    002
    0.86
     ii
    0.85
    02
    0.85
    second
    0.83
     II
    0.83
    Activations Density 0.149%

    No Known Activations