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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. 3-RES-JB
    11. 4965
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    Explanations

    words related to melodious or melodic content

    oai_token-act-pair · gpt-3.5-turbo

    words related to music and sound elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    BLIC
    -0.77
    POST
    -0.67
    yip
    -0.67
    irrel
    -0.66
    SHIP
    -0.65
     Oath
    -0.65
    inctions
    -0.65
    gur
    -0.64
     CARD
    -0.64
    BY
    -0.63
    POSITIVE LOGITS
    odic
    1.04
    atonin
    1.02
     mel
    1.00
    anz
    0.90
    ient
    0.84
    ices
    0.82
    ics
    0.81
    stead
    0.81
    apper
    0.80
    itary
    0.79
    Activations Density 0.005%

    No Known Activations