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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. 10-RES-JB
    11. 6121
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    Explanations

    mentions of grand events or concepts like grand theft and grand parties

    oai_token-act-pair · gpt-3.5-turbo

    words related to grand theft and its various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jad
    -0.79
    ndra
    -0.75
    lehem
    -0.62
    osion
    -0.62
    PsyNetMessage
    -0.61
     Altern
    -0.60
    pedia
    -0.58
     flick
    -0.58
    oult
    -0.57
     mosquit
    -0.57
    POSITIVE LOGITS
    rity
    0.81
    otta
    0.65
    ombat
    0.64
    ij
    0.63
    uries
    0.62
    Grand
    0.61
    arters
    0.61
    athered
    0.59
     Prix
    0.59
    opening
    0.59
    Activations Density 0.120%

    No Known Activations