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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. 4-RES-JB
    11. 69
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    Explanations

    words related to destruction or destructive actions

    oai_token-act-pair · gpt-3.5-turbo

    words related to destruction and structural issues

    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
     Leone
    -0.74
    Footnote
    -0.67
    >>>>>>>>
    -0.67
     Weasley
    -0.64
     Wilde
    -0.63
    NRS
    -0.60
    Adapt
    -0.59
     Rebels
    -0.58
     Pant
    -0.58
     ministry
    -0.58
    POSITIVE LOGITS
    ures
    1.22
    ible
    1.21
    urally
    1.17
    ural
    1.14
    ions
    1.11
    ibles
    1.07
    ruct
    1.03
    ured
    1.02
    uable
    0.97
    uring
    0.97
    Activations Density 0.025%

    No Known Activations