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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. 6-RES-JB
    11. 15225
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    Explanations

    discussions or interviews about various topics

    oai_token-act-pair · gpt-3.5-turbo

    topics involving discussions and conversations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    offic
    -0.81
    inventory
    -0.73
    meter
    -0.70
    veh
    -0.70
    hold
    -0.67
    here
    -0.66
    definition
    -0.65
    ometer
    -0.64
    liam
    -0.64
    Mess
    -0.63
    POSITIVE LOGITS
     topics
    0.85
    :]
    0.85
     listener
    0.84
     fascinating
    0.79
     topical
    0.75
     podcast
    0.74
     hilarious
    0.74
     poignant
    0.72
     inspiring
    0.70
    podcast
    0.70
    Activations Density 0.245%

    No Known Activations