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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. 10-RES-JB
    11. 8385
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    Explanations

    phrases related to abstract concepts and qualities

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    culosis
    -0.81
    anamo
    -0.80
    WF
    -0.76
    urchase
    -0.75
     Drink
    -0.74
    SHIP
    -0.73
    deen
    -0.73
    AGE
    -0.71
    OSE
    -0.70
    burgh
    -0.69
    POSITIVE LOGITS
     idiosyncr
    1.38
     contradictory
    1.38
     indist
    1.32
     incomprehensible
    1.31
     inco
    1.25
     unpredictable
    1.21
     esoteric
    1.20
     disson
    1.20
     inexplicable
    1.19
     incon
    1.19
    Activations Density 0.314%

    No Known Activations