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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. 0-RES-JB
    11. 10043
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    Explanations

    references to a specific name "Hag" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    the name "Hag" along with associated references

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ode
    -0.71
     pol
    -0.71
    ipe
    -0.70
     profiling
    -0.69
     cryptoc
    -0.69
    UX
    -0.67
    azo
    -0.65
    isure
    -0.65
    iffe
    -0.64
    âľ
    -0.63
    POSITIVE LOGITS
     Hag
    4.07
     Dag
    1.51
     Sig
    1.36
     Eag
    1.25
     Hog
    1.21
     Kag
    1.20
     Nag
    1.17
     Eg
    1.17
     Mog
    1.17
     Bag
    1.13
    Activations Density 0.020%

    No Known Activations