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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. 7-RES-JB
    11. 7863
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    INDEX
    Explanations

    phrases related to extreme or intense situations

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to boundlessness or lack of limits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NUM
    -0.72
    aligned
    -0.71
    saf
    -0.70
    GS
    -0.69
    aphael
    -0.69
    PDATED
    -0.68
    winner
    -0.68
    align
    -0.68
    CLASS
    -0.68
    STR
    -0.68
    POSITIVE LOGITS
     depths
    1.10
     boiling
    1.08
     saline
    1.06
     molten
    1.02
     sewage
    1.01
     liquids
    1.01
     fluids
    0.97
     cess
    0.96
     murky
    0.96
     fumes
    0.96
    Activations Density 0.379%

    No Known Activations