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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 9906
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    Explanations

    phrases related to protective cases or legal cases

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "case" to identify contexts where discussions or examples are being presented

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

    No Comments

    Negative Logits
    etsk
    -0.81
    pez
    -0.76
     destro
    -0.74
     mathemat
    -0.74
    autical
    -0.73
    nesday
    -0.71
    ¥ŀ
    -0.71
    slow
    -0.69
    uggish
    -0.69
    estern
    -0.68
    POSITIVE LOGITS
    cases
    0.98
    cmp
    0.79
    case
    0.79
    backs
    0.77
     Kas
    0.69
     Keen
    0.68
    suit
    0.68
     Case
    0.67
    back
    0.67
     WHEN
    0.66
    Activations Density 0.031%

    No Known Activations