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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. 16487
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    Explanations

    words related to destruction, such as "shattered" and "shattering"

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with destruction and fragmentation

    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
    uana
    -0.80
    oad
    -0.77
    oaded
    -0.74
    pmwiki
    -0.70
    ums
    -0.68
    atar
    -0.68
    ña
    -0.68
    issue
    -0.67
    essee
    -0.65
    ature
    -0.65
    POSITIVE LOGITS
     shards
    0.92
    dragon
    0.90
    stals
    0.89
     shatter
    0.86
     Shards
    0.83
    stal
    0.83
     shattering
    0.82
    ãĤ©
    0.80
    glass
    0.79
     illusions
    0.77
    Activations Density 0.024%

    No Known Activations