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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. 1-RES-JB
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    Explanations

    phrases related to cages or enclosures

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cages, particularly in relation to animals and their enclosures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.72
     Bundes
    -0.65
     Done
    -0.61
    evin
    -0.60
    ibel
    -0.60
    vironment
    -0.59
     lender
    -0.58
     FM
    -0.57
    ITNESS
    -0.57
    UD
    -0.56
    POSITIVE LOGITS
     cage
    1.28
     cages
    1.17
     Cage
    1.05
    door
    0.81
    pit
    0.81
    washer
    0.77
     Rampage
    0.75
    eers
    0.74
    Frames
    0.74
     Handler
    0.73
    Activations Density 0.007%

    No Known Activations