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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. 19102
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    Explanations

    words related to gatherings or events

    oai_token-act-pair · gpt-3.5-turbo

    instances referring to being "in front of" various subjects or objects

    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
    cci
    -0.83
    ixtape
    -0.74
    chini
    -0.74
    atto
    -0.72
    zie
    -0.69
     Preferred
    -0.69
    ulet
    -0.66
    ajor
    -0.66
    aren
    -0.65
    avorite
    -0.65
    POSITIVE LOGITS
    aday
    0.87
    woods
    0.77
    stad
    0.77
    screen
    0.76
    runners
    0.72
     teeth
    0.70
    ed
    0.70
    matter
    0.69
    stadt
    0.69
    office
    0.69
    Activations Density 0.017%

    No Known Activations