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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. 9-RES-JB
    11. 5763
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    Explanations

    sports photo captions containing names

    oai_token-act-pair · gpt-3.5-turbo

    names of photographers and related credits in image captions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.89
     eleph
    -0.86
     handshake
    -0.81
    soDeliveryDate
    -0.74
    andals
    -0.71
    aditional
    -0.70
     fronts
    -0.68
    comings
    -0.67
    DeliveryDate
    -0.64
    ackle
    -0.62
    POSITIVE LOGITS
    irit
    0.71
    ename
    0.67
    yssey
    0.65
    apest
    0.65
     (@
    0.62
    ombat
    0.62
     Xander
    0.61
     Magazine
    0.61
    oad
    0.60
    asma
    0.60
    Activations Density 0.136%

    No Known Activations